Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a clear, actionable, well-sequenced research methodology with strong validation checkpoints. It is somewhat verbose with overlapping restatements and is monolithic rather than progressively disclosed across files.
Suggestions
Merge the redundant 'Core Principle', 'Quality Bar', 'Common Mistakes', and 'Output' sections into a single concise checklist to remove repeated 'research thoroughly' messaging.
Split the detailed 'Search Strategy Tips' (query patterns and temporal-aware table) into a referenced file (e.g., references/QUERY_PATTERNS.md) and keep SKILL.md as an overview to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly operational guidance rather than concept-explanation, but verbose: 'Core Principle', 'Quality Bar', 'Common Mistakes', and 'Output' all restate 'do thorough research before generating content'; not level 3 because the redundancy could be trimmed without losing clarity. | 2 / 3 |
Actionability | For an instruction-only skill it gives concrete, specific guidance: executable query templates with ✅/❌ examples, a temporal-precision table mapping user intent to query form, and a Phase-4 checklist; absence of code is not penalized here. | 3 / 3 |
Workflow Clarity | A clearly sequenced four-phase workflow with an explicit validation checkpoint (Phase 4 synthesis checklist) and a feedback loop ('If any answer is NO, continue researching before generating content'). | 3 / 3 |
Progressive Disclosure | No bundle files exist and the skill is a well-organized single document, but it is a monolithic 190-line file with all content inline; not level 3 because nothing is split off despite length, and not level 1 because sections are clearly headed and navigable. | 2 / 3 |
Total | 10 / 12 Passed |